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31 results for “Driving Performance”

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Research ArticleOpen accessPhrase in the titleSTRESS; THE VULNERABILITY AND ASSOCIATION WITH DRIVING PERFORMANCEB. M.T. Shamsul, S. Khairunnisa, Y. G. Ng, M. Y. Irwan SyahSeveral factors may contribute to occurrence of road accidents which are human factors, vehicle factor, road factor and environmental factor. There has been recent evidence of a relationship between road accidents and emotional distress as well as fatigue. Monotonous and complex road environments are the road factor that relates to the internal factor within driver. The overall aim of this … …American Journal of Applied Sciences, Vol. 11, Issue 3 · 11 Jan 2014 · 7,720 accessesView PDFCite
Research ArticleOpen accessIn the abstractSelf-Supervised Contrastive Learning for Steering Angle Prediction in Autonomous Driving SimulationsMaxson Phang, Suryadiputra LiawatimenaPredicting steering angles is a crucial task in autonomous driving, with end-to-end deep learning being a widely used approach. However, such models often suffer from overfitting to learned trajectories, limiting their generalization to new data. To address this, self-supervised contrastive learning is explored as an alternative, allowing models to learn meaningful representations without labeled data. The primary objective is to … …Journal of Computer Science, Vol. 21, Issue 9 · 20 Oct 2025 · 2,588 accessesView PDFCite
Review ArticleOpen accessIn the abstractCognitive Workload Assessment: A Comprehensive ReviewNegin Ozve Aminian, William Michael, Mehdi GhoreyshiMental workload during high-effort tasks is a crucial measure of effective task performance. Maintaining cognitive demands within an individual's capacity enables the effective performance of complex multi-tasking. Conversely, surpassing this margin may lead to unpredictable and suboptimal performance. This review explores human mental workload assessment across real-world tasks like aircraft piloting, vehicle driving under challenging conditions, and automated power plant … …Journal of Aircraft and Spacecraft Technology, Vol. 9, Issue 1 · 20 Aug 2025 · 7,565 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuel Prediction Model for Driving Patterns Using Machine Learning TechniquesManjunath TK, Ashok Kumar PSIn recent years, the demand for fuel efficiency has become a crucial aspect of the automotive industry. Predicting fuel economy accurately is essential for optimizing vehicle performance and reducing environmental impact. This proposed model presents a machine learning-based approach for developing a fuel prediction model using the real dataset. The model aims to predict fuel efficiency for different drivers by … …Journal of Computer Science, Vol. 20, Issue 3 · 29 Jan 2024 · 5,488 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Enhanced Algorithm for Small Object Detection based on Thermal Imaging Using YOLOv8-EPBRavina Gupta, Sarika Jain, Manoj KumarObject detection is one of the most important and challenging problems in the computer vision domain. Using the power of deep models, researchers have carefully explored and made significant contributions to increasing the effectiveness of object detection and related tasks, such as object identification, localization, and segmentation. This progress is due to the rapid progress of deep learning in the … …Journal of Computer Science, Vol. 21, Issue 6 · 13 Jun 2025 · 4,218 accessesView PDFCite
Research ArticleOpen accessIn the abstractWi-Fi Network Quality Assessment Towards a Smart University: A Case Study of Mahasarakham UniversityKhanittha Klangburam, Charuay SavithiA Smart University serves as a crucial component in enabling the implementation of intelligent systems and driving innovation. Many international universities have taken the lead in initiating Smart University projects to align with the ever-changing educational landscape. Thailand is actively dedicated to pursuing a transformative agenda that is consistent with the 20-year national strategy (2018-2037) with the aim of promoting … …Journal of Computer Science, Vol. 19, Issue 12 · 26 Oct 2023 · 6,785 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficient Detection and Mitigation of Rushing Attacks in VANETs Using RAID: A Novel Intrusion Detection SystemVamshi Krishna Kapu, Ganesh Reddy KarriThe vehicle manufacturing hub has evolved over the last decade with the emergence of self-driving vehicles and human-driven vehicles that use the concept of Artificial Intelligence (AI). Vehicular Ad Hoc Network (VANET) is a subset of Mobile Ad Hoc Network (MANET) that allows vehicles to communicate with one another and the Road Side Unit (RSU). VANET has been a game … …Journal of Computer Science, Vol. 19, Issue 9 · 26 Aug 2023 · 5,756 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Reliability of Routing Protocols as an Important Factor for Road Safety Applications in VANET-based Autonomous CarsAnanto Tri Sasongko, Grafika Jati, Bob Hardian, Wisnu JatmikoThe autonomous cars are considered as a tremendous disruptive innovation in the coming years. They enable a driving automation system to replace human drivers to control the vehicle with better recognition, decision and driving skills and ultimately enhance the road users’ experience and traffic safety. They can communicate with other cars as they are ready with the Vehicle to Vehicle … …Journal of Computer Science, Vol. 16, Issue 6 · 15 Jun 2020 · 7,425 accessesView PDFCite
Review ArticleOpen accessIn the abstractComparative Study of Visual Odometry Performance Based on Road ClassificationsDayang Nur Salmi Dharmiza, Awang Salleh, Kuryati KipliAccuracyand robustness are among the main concerns in vehicle positioning systems andautonomous applications. These concerns are crucial in GNSS-deniedenvironments; thus, we need an alternative technology to overcome this problem.In recent years, vision-based localization known as visual odometry has gainedconsiderable attention among researchers. Visual odometry is a vision-basedpose estimation and it has been developed for mobile object localization suchas robots and … …Journal of Computer Science, Vol. 18, Issue 11 · 26 Oct 2022 · 5,903 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Qualitative Assessment of VANET Routing Protocols Under Different Mobility ModelsMeriem Houmer, Moulay Lahcen HasnaouiVehicular Ad-hoc Networks (VANET) is an advanced wireless network that came to increase traffic safety, efficiency and to improve driving experience. The high mobility of nodes is the major characteristic in these networks. The aim of this paper is to figure out the impact of various mobility models on the performance of Ad-hoc On-demand Distance Vector (AODV), Cluster-Based Directional Routing … …Journal of Computer Science, Vol. 15, Issue 1 · 23 Jan 2019 · 7,464 accessesView PDFCite